Senior Data Engineer

Posted 3 Days Ago
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Kraków, Małopolskie, POL
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
As a Senior Data Engineer, you'll design and operate data pipelines on GCP, ensuring data quality, mentoring junior engineers, and supporting AI initiatives.
Summary Generated by Built In

Job Title

Senior Data Engineer

Job Description

Minimum compensation: starting from 17 500 PLN. The final offer will be determined based on the candidate's experience and competencies.
So, who are we?
IG Group is a FTSE 100 fintech operating across five continents, serving over 1.3m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses. The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Join us at IG – the future gets built here. 

Your team 

IG’s Data function is a central capability serving both central and divisional business lines across the entire IG estate. The Data Engineering team is responsible for the platforms that underpin analytics, reporting, compliance, and client-facing data products, and that will increasingly power AI and machine-learning use cases across the firm. 

The current data landscape reflects IG’s growth: a combination of GCP-native capabilities, onpremises systems, and a legacy AWS data platform. The strategic direction — endorsed by the CDO and Executive — is clear: consolidate onto GCP, raise the bar on data quality, and enable self-service access to trusted data for teams across the business. 

 
Your role in the Team’s Success 

As a Senior Data Engineer, you will design, build, and operate the data pipelines and platform capabilities that power IG’s analytics, compliance, and AI ambitions. Working within a squad led by the Data Engineering Team Lead, you will be a key technical contributor to IG’s GCP consolidation programme — tackling complex ingestion, transformation, and reliability challenges with a high standard of craft. You will also play a meaningful role in raising the bar for the wider team: mentoring junior engineers, championing data quality, and helping to define how the squad builds and operates at scale. 

What you’ll do 

  • Design and build robust batch and real-time data pipelines on GCP, including Kafka-based event streams, BigQuery transformations, and Airflow-orchestrated workflows, as part of the GCP consolidation and Medallion architecture build-out 

  • Own data quality within your delivery area: define and implement data contracts, quality checks, and observability instrumentation so that pipeline health is visible and SLAs are met 

  • Develop and maintain in-house connectors and third-party native integrations that form part of IG’s ingestion estate, ensuring resilience, monitoring, and long-term maintainability 

  • Contribute to engineering standards and best practices across the squad — including code review, dbt modelling patterns, CI/CD pipeline hygiene, and change control for shared datasets 

  • Support feature engineering and model data pipelines for Data Science, and help lay the foundations for AI-ready data — including lineage, reproducibility, and freshness guarantees for ML workloads 

 

What you’ll need for this role 

  • Proven hands-on experience building and operating production-grade data pipelines on GCP — including BigQuery, Cloud Composer/Airflow, GCS, and Cloud Run — with strong SQL and Python skills 

  • Solid experience with Apache Kafka or equivalent streaming technologies, including designing event-driven ingestion patterns and troubleshooting real-time data flows under operational conditions 

  • Familiarity with modern transformation tooling, particularly dbt, and an appreciation of Medallion (Bronze/Silver/Gold) architecture patterns and how they support self-service analytics 

  • A quality-first mindset: experience implementing data contracts, lineage tracking, observability tooling, and pipeline SLO monitoring in a production environment 

  • Comfortable working in a regulated financial services environment, with an understanding of data governance requirements (lineage, access control, audit trails) and the discipline to operate within change control processes 

Key Qualification Requirements: 

 How we work 

We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office – which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: 

  • Lead and Inspire: Drives trust, alignment, and enthusiasm 

  • Think Big: Focus on the problems that most impact commercial outcomes 

  • Champion the client: Understand and prioritise client's needs 

  • Deliver at pace: Push for fast, sustainable growth;  

  • Raise the bar: Take ownership, be accountable and share feedback 

 

We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We’re committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that’s why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here. 

 

The Perks 

Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work.  
 
 
Learn more about the Perks here! 
 

Join us for this exciting journey. Apply now! 

Number of openings

1

Skills Required

  • Proven hands-on experience building production-grade data pipelines on GCP
  • Solid experience with Apache Kafka or equivalent streaming technologies
  • Familiarity with modern transformation tooling, particularly dbt
  • Experience implementing data contracts, lineage tracking, observability tooling
  • Understanding of data governance requirements in a regulated environment
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The Company
HQ: London
2,748 Employees

What We Do

We’ve been at the forefront of trading innovation since 1974, taking on the challenge to deliver an unmatched experience for our clients and raise the bar for tomorrow’s opportunities. Today, we’re a global fintech company incorporating the IG, tasty, IG Prime, Spectrum and DailyFX brands, with a presence in 18 countries across five continents – Europe, North America, Africa, Asia-Pacific and the Middle East. We’re an organisation of positive problem-solvers, united and inspired by our purpose, which is to power the pursuit of financial freedom for the ambitious. Our award-winning products and platforms empower go-getters the world over to unlock opportunities around the clock, giving them access to over 19,000 financial markets. Today, more than 400,000 clients call IG Group home. IG Group Holdings plc is an established member of the FTSE 250 and holds a long-term investment grade credit rating of BBB- with a stable outlook from Fitch Ratings

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